基于模态分解的地基雷达慢速弱目标检测方法

doi:10.12305/j.issn.1001-506X.2025.01.08

系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (1): 70-80.doi: 10.12305/j.issn.1001-506X.2025.01.08

基于模态分解的地基雷达慢速弱目标检测方法

任晓昱¹^,², 林瑞奇¹, 邓云开¹^,³^,*, 田卫明¹^,⁴, 胡程¹^,⁴

1. 北京理工大学信息与电子学院雷达技术研究院, 北京 100081
2. 嵌入式实时信息处理技术北京市重点实验室, 北京 100081
3. 北京理工大学重庆创新中心, 重庆 401120
4. 北京理工大学前沿科技研究院, 山东济南 250300

收稿日期:2023-12-08 出版日期:2025-01-21 发布日期:2025-01-25
通讯作者: 邓云开
作者简介:任晓昱(1999—), 女, 硕士研究生, 主要研究方向为阵列雷达动目标探测
林瑞奇(1998—), 男, 博士研究生, 主要研究方向为阵列雷达动目标检测
邓云开(1992—), 男, 副研究员, 博士, 主要研究方向为SAR成像、差分干涉测量
田卫明(1983—), 男, 教授, 博士, 主要研究方向为SAR系统设计、雷达实时信号处理、差分干涉雷达
胡程(1981—), 男, 研究员, 博士, 主要研究方向为新体制SAR系统与信号处理、生物探测雷达系统与信息处理
基金资助:
国家自然科学基金(U2133217);国家自然科学基金(62101036)

Slow weak target detection method of ground-based radar based on mode decomposition

Xiaoyu REN¹^,², Ruiqi LIN¹, Yunkai DENG¹^,³^,*, Weiming TIAN¹^,⁴, Cheng HU¹^,⁴

1. Radar Technology Research Institute, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
2. Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing 100081, China
3. Chongqing Innovation Center, Beijing Institute of Technology, Chongqing 401120, China
4. Advanced Technology Research Institute, Beijing Institute of Technology, Jinan 250300, China

Received:2023-12-08 Online:2025-01-21 Published:2025-01-25
Contact: Yunkai DENG

摘要/Abstract

摘要：

在复杂地物场景中使用地基雷达探测地面动目标时, 慢速弱目标与地杂波的频谱通常难以区分, 传统的目标检测手段性能受限。针对此问题, 提出一种基于模态分解的地基雷达慢速弱目标检测方法。首先设置较低的门限进行单元平均-恒虚警率(cell average-constant false alarm rate, CA-CFAR)检测, 初步筛选目标; 接着对慢时间信号进行复经验模态分解(complex empirical mode decomposition, CEMD), 分离地杂波和动目标; 最后利用地杂波和动目标多普勒频谱的对称性差异检测目标。将该检测方法分别与CA-CFAR和正交投影-奇异值分解-恒虚警率(orthogonal projection-singular value decomposition-constant false alarm rate, OP-SVD-CFAR)检测的性能进行比较, 并通过仿真数据和两组不同目标的实测数据进行验证。结果表明, 所提方法能够提升目标的信杂噪比; 在检测概率相同的条件下, 其虚警率比CA-CFAR显著降低; 在检测概率相同且较高的情况下, 所提方法比OP-SVD-CFAR的虚警率也更低, 证明了所提方法的有效性。

关键词: 地基雷达, 慢速弱目标检测, 模态分解, 过门限处理

Abstract:

When using ground-based radar to detect ground moving targets in complex terrain scenes, it is difficult to distinguish slow weak targets from ground clutter in spectrum, and the performance of traditional target detection methods is limited. To solve this problem, a slow weak target detection method for ground-based radar based on mode decomposition is proposed. Firstly, a lower threshold is set for cell average-constant false alarm rate (CA-CFAR) detection to preliminarily screen targets. Subsequently, complex empirical mode decomposition (CEMD) is applied to slow-time signals to separate moving targets from ground clutter. Finally, targets are detected according to the asymmetry difference in Doppler spectra of ground clutter and moving targets. This detection method is compared with the performance of CA-CFAR and orthogonal projection-singular value decomposition-constant false alarm rate (OP-SVD-CFAR), and validated using simulation data and measured data from two different target sets. Results demonstrate that the proposed method enhances the signal-to-clutter noise ratio of targets. Under the same detection probability, its false alarm rate is significantly lower than that of CA-CFAR. Moreover, under the same and higher detection probability, the proposed method also exhibits a lower false alarm rate compared to OP-SVD-CFAR, thereby affirming its efficacy.

Key words: ground-based radar, slow weak target detection, mode decomposition, over threshold processing

中图分类号:

TN911.23

任晓昱, 林瑞奇, 邓云开, 田卫明, 胡程. 基于模态分解的地基雷达慢速弱目标检测方法[J]. 系统工程与电子技术, 2025, 47(1): 70-80.

Xiaoyu REN, Ruiqi LIN, Yunkai DENG, Weiming TIAN, Cheng HU. Slow weak target detection method of ground-based radar based on mode decomposition[J]. Systems Engineering and Electronics, 2025, 47(1): 70-80.

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基于模态分解的地基雷达慢速弱目标检测方法

Slow weak target detection method of ground-based radar based on mode decomposition

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